Removes the fit from the graph and removes its report.

Creates a new column in the current data table called Predicted colname where colname is the name of the Y variable. This column includes the prediction formula and the computed sample predicted values. The prediction formula computes values automatically for rows that you add to the table. This option is not available for the Fit Each Value and Density Ellipse fits and is dimmed on those menus.

You can use the Save Predicteds and Save Residuals commands for each fit. If you use these commands multiple times or with a grouping variable, it is best to rename the resulting columns in the data table to reflect each fit.

Creates a new column in the current data table called Residuals colname where colname is the name of the Y variable. Each value is the difference between the actual (observed) value and its predicted value. Unlike the Save Predicteds command, this command does not create a formula in the new column. This option is not available for the Fit Each Value and Density Ellipse fits and is dimmed on those menus.

You can use the Save Predicteds and Save Residuals commands for each fit. If you use these commands multiple times or with a grouping variable, it is best to rename the resulting columns in the data table to reflect each fit.

Creates a new column in the data table containing a formula for the individual confidence intervals.

Produces four diagnostic plots: residual by predicted, actual by predicted, residual by row, and a normal quantile plot of the residuals. See Diagnostics Plots.

Draws the same curves as the Confid Curves Fit command and shades the area between the curves.

Draws the same curves as the Confid Curves Indiv command and shades the area between the curves.

Saves the spline coefficients as a new data table, with columns called X, A, B, C, and D. The X column gives the knot points. A, B, C, and D are the intercept, linear, quadratic, and cubic coefficients of the third-degree polynomial. These coefficients span from the corresponding value in the X column to the next highest value.

Displays a slider for each variable, where you can change the standard deviation that defines the range of X and Y values for determining the density of contour lines.